Ausilio G, Wikenros C, Sand H, Devineau O, Wabakken P, Eriksen A, Aronsson M, Persson J, Mathisen K M, Zimmermann B
Faculty of Applied Ecology, Agricultural Sciences and Biotechnology, University of Inland Norway, Campus Evenstad, 2480, Koppang, Norway.
Grimsö Wildlife Research Station, Department of Ecology, Swedish University of Agricultural Sciences, 73993, Riddarhyttan, Sweden.
Oecologia. 2025 Jul 1;207(7):118. doi: 10.1007/s00442-025-05742-z.
Spatial patterns of human hunting and predation risk are mediated by the physical landscape, with hunting risk often associated with different habitat features than those linked to large carnivores. Risk from hunters and carnivores also varies over time, and prey may adjust anti-predator strategies accordingly. We used GPS data from 17 female moose (Alces alces) tracked over two fall-winter seasons (2018-2020) in south-central Scandinavia to study moose habitat selection in response to diel and seasonal variation in risk from wolves (Canis lupus) and human hunters. Predation risk was quantified using spatial models based on known wolf and hunter kill-sites. We applied resource selection functions and Generalized Additive Mixed Models to model moose habitat selection in response to wolf and hunting risk. Moose avoided high-risk hunting areas during the day throughout the hunting season but relaxed this avoidance at night and after the season ended. In contrast, we found no evidence that moose adjusted habitat use in response to diel or seasonal variation in wolf predation risk. These results suggest that human hunting was the primary driver of moose habitat selection during the hunting season, becoming less relevant when hunting ceased. Our findings highlight the dominant role of human risk in shaping prey behaviour and the importance of accounting for hunting when evaluating predator-prey dynamics in human-dominated systems. An increased understanding of the risk effects arising from humans and large carnivores on prey can deepen our understanding of the ecological roles of predators and humans.
人类狩猎和捕食风险的空间格局受自然景观的调节,狩猎风险通常与大型食肉动物所关联的栖息地特征不同。来自猎人及食肉动物的风险也会随时间变化,猎物可能会相应调整反捕食策略。我们利用在斯堪的纳维亚半岛中南部两个秋冬季节(2018 - 2020年)追踪的17头雌性驼鹿(驼鹿属)的GPS数据,研究驼鹿栖息地选择如何响应狼(犬属)和人类猎人带来的昼夜及季节风险变化。利用基于已知狼和猎人捕杀地点的空间模型对捕食风险进行量化。我们应用资源选择函数和广义相加混合模型来模拟驼鹿栖息地选择对狼和狩猎风险的响应。在整个狩猎季节,驼鹿白天会避开高风险狩猎区域,但在夜间及狩猎季结束后则放松了这种规避行为。相比之下,我们没有发现证据表明驼鹿会根据狼捕食风险的昼夜或季节变化来调整栖息地利用。这些结果表明,人类狩猎是狩猎季节驼鹿栖息地选择的主要驱动因素,在狩猎停止后其影响减弱。我们的研究结果凸显了人类风险在塑造猎物行为方面的主导作用,以及在评估人类主导系统中的捕食者 - 猎物动态时考虑狩猎因素的重要性。增进对人类和大型食肉动物对猎物产生的风险影响的理解,能够加深我们对捕食者和人类生态作用的认识。